In this episode of Unboxing AI, meet Vijay Badrinarayanan, the VP of AI at Wayve, and learn about Wayve’s end-to-end machine learning approach to self-driving. Along the way, Vijay shares what it was like working for Magic Leap in the early days, and relates the research journey that led to SegNet.

TOPICS & TIMESTAMPS

00:47 Guest Intro

02:38 Academia & Classic Computer Vision

08:56 PostDoc @ Cambridge - Road scene segmentation

18:42 Technical Challenges Faced During Early Deep Computer Vision

20:24 Meeting Alex Kendall; SegNet

25:15 Transition from Academia to Production Computer Vision at Magic Leap

27:09 Deep Eye-Gaze Estimation at Magic Leap

33:21 Joining Wayve

36:09 AV 1.0: First-gen autonomy

40:08 On Tesla LIDARs and their unique approach to AV

46:37 Wayve's AV 2.0 Approach

48:42 Programming By Data / Data-as-Code

51:02 Addressing the Long Tail Problem in AV

53:13 Powering AV 2.0 with Simulation

58:30 Re-simulation, Closing the Loop & Testing Neural Networks

1:01:44 The Future of AI and Advanced Approaches

1:11:50 Are there other 2.0s? Next industries to revolutionize

1:13:48 Next Steps for Wayve

1:14:59 Human-level AI

1:16:35 Career Tips for Computer Vision Engineers

LINKS AND RESOURCES

 - On The Guest - Vijay Badrinarayanan

LinkedIn: https://www.linkedin.com/in/vijay-badrinarayanan-6578692/

Twitter: https://twitter.com/vijaycivs

Google Scholar: https://scholar.google.com/citations?user=WuJckpkAAAAJ

 - About Wayve

https://wayve.ai/

https://sifted.eu/articles/wayve-autonomous-driving/

AV 2.0 Technical Thesis - Reimagining an autonomous vehicle: https://arxiv.org/abs/2108.05805

 - SegNet

Vijay & Alex Kendall together with Roberto Cipolla release a revolutionary paper on segmentation with a novel and practical deep fully convolutional NN architecture for semantic pixel-wise segmentation

https://ieeexplore.ieee.org/abstract/document/7803544/

 - Good NeRF explainer here:

https://datagen.tech/guides/synthetic-data/neural-radiance-field-nerf/

 - DALL-E 2

https://openai.com/dall-e-2/

 - StyleGAN2

https://github.com/NVlabs/stylegan2

GUEST BIO

Vijay Badrinarayanan is VP of AI at Wayve, a company pioneering AI technology to enable autonomous vehicles to drive in complex urban environments. He has been at the forefront of deep learning and artificial intelligence (AI) research and product development from the inception of the new era of deep learning driven AI. His joint research work in semantic segmentation conducted in Cambridge University, along with Alex Kendall, CEO of Wayve, is one of the highly cited publications in deep learning. As Director of Deep Learning and Artificial Intelligence (AI) at Magic Leap Inc., California he led R&D teams to deliver impactful first of its kind deep neural network driven products for power constrained Mixed Reality headset applications. As VP of AI, Vijay aims to deepen Wayve’s investment in deep learning to develop the end-to-end learnt brains behind Wayve’s self-driving technology. He is actively building a vision and learning team at Mountain View, CA focusing on actively researched AI topics such as representation learning, simulation intelligence and combined vision and language models with a view towards making meaningful product impact and bringing this cutting-edge approach to AVs to market.

FULL TRANSCRIPT AND MORE AT:

https://unboxingai.show/